"""simple docstring"""


from typing import List, Optional

from tokenizers import ByteLevelBPETokenizer

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_blenderbot_small import BlenderbotSmallTokenizer


a				=logging.get_logger(__name__)

a				={
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
    'tokenizer_config_file': 'tokenizer_config.json',
}

a				={
    'vocab_file': {
        'facebook/blenderbot_small-90M': 'https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json'
    },
    'merges_file': {
        'facebook/blenderbot_small-90M': 'https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt'
    },
    'tokenizer_config_file': {
        'facebook/blenderbot_small-90M': (
            'https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json'
        )
    },
}

a				={
    'facebook/blenderbot_small-90M': 512,
}






class   __UpperCAmelCase		(      __lowerCAmelCase      ):
				A__ :  List[Any]    				=			VOCAB_FILES_NAMES
				A__ :  Union[str, Any]    				=			PRETRAINED_VOCAB_FILES_MAP
				A__ :  List[str]    				=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				A__ :  List[str]    				=			BlenderbotSmallTokenizer

				def __init__( self      ,					_lowerCamelCase=None      ,					_lowerCamelCase=None      ,					_lowerCamelCase="<|endoftext|>"      ,					_lowerCamelCase="<|endoftext|>"      ,					_lowerCamelCase="<|endoftext|>"      ,					_lowerCamelCase=False      ,					_lowerCamelCase=True      ,					**_lowerCamelCase      ,					):
										super().__init__(
										    ByteLevelBPETokenizer(
										        vocab=_lowerCamelCase      ,					merges=_lowerCamelCase      ,					add_prefix_space=_lowerCamelCase      ,					trim_offsets=_lowerCamelCase      ,					)      ,					bos_token=_lowerCamelCase      ,					eos_token=_lowerCamelCase      ,					unk_token=_lowerCamelCase      ,					**_lowerCamelCase      ,					)
										lowerCamelCase__   =add_prefix_space

				def 						_a      ( self      ,					_lowerCamelCase      ,					_lowerCamelCase=None ):
										lowerCamelCase__   =[self.bos_token_id] + token_ids_a + [self.eos_token_id]
										if token_ids_a is None:
																return output

										return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]






				def 						_a      ( self      ,					_lowerCamelCase      ,					_lowerCamelCase = None ):
										lowerCamelCase__   =[self.sep_token_id]
										lowerCamelCase__   =[self.cls_token_id]

										if token_ids_a is None:
																return len(cls + token_ids_a + sep ) * [0]
										return len(cls + token_ids_a + sep + sep + token_ids_a + sep ) * [0]



"""simple docstring"""


from .imports import is_rich_available


if is_rich_available():
	from rich.traceback import install

	install(show_locals=False)

else:
	raise ModuleNotFoundError('To use the rich extension, install rich with `pip install rich`')


